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2014-01-01 - Article/Dans un journal avec peer-review - Français - 21 page(s)

Vallée François , Versèle Christophe, Loughlimi Radouane, Lobry Jacques , "Analytical Estimation of Gaseous Pollutants Emissions from An Electrical Generation Park Using Thermal Energy. Influence of Wind Random Behaviour and Operational Constraints" in European Journal of Electrical Engineering, 17, 1, 73-94

  • Edition : Hermes Science Publishing Ltd (United Kingdom)
  • Codes CREF : Sciences de l'ingénieur (DI2000)
  • Unités de recherche UMONS : Physique Générale (F901), Génie Electrique (F101)
  • Instituts UMONS : Institut de Recherche en Energétique (Energie)

Abstract(s) :

(Anglais) Nowadays, most of the conventional electrical parks are still using fossil resources like coal or oil. Those primary resources involve the emission of gaseous pollutants like carbon oxides (COx) or oxides of nitrogen (NOx). Recently, following the Kyoto agreements, a great research effort has been made in order to reduce those emissions worldwide. In this context, one of the most promising alternative resources is certainly wind power. Given the fluctuating behaviour of the wind and due to several operating constraints (cost, reliability…) related to electrical systems, it is important to adequately dispatch conventional thermal generation in order to guarantee a minimization of the gaseous pollutants emissions and to simultaneously face the requirements of modern networks. In that way, reference (Liu et al., 2010) has proposed an analytical model in order to minimize emissions under cost and load covering constraints. However, even if it represents a first approach, this model does not take into account some important operating constraints like unexpected outages of classical thermal units. This paper tries to complete Liu’s model by modelling the above mentioned uncertainties. In this context, it is demonstrated that the modified analytical model is presenting a non-derivable constraint function and that the initial solving method based on a deterministic algorithm must be consequently replaced by the use of a hybrid approach based on the combination of both genetic and deterministic algorithms. In that way, the common impact of fluctuating wind power and of classical parks unexpected unavailability is computed. So, it is shown that, for unchanged wind power characteristics and for a given tolerance on the load covering ability, the consideration of unexpected outages associated to classical thermal parks involves a simultaneous increase of the installed classical power and of gaseous pollutants emissions. Finally, it is thought that the developed model can help a producer (or, even, a provider) towards an optimal dispatch of its generation park in order to guarantee reduced pollutants emissions under several operating constraints (reliability, cost, outages, wind random behaviour…).